Biological age prediction and NAFLD risk assessment: a machine learning model based on a multicenter population in Nanchang, Jiangxi, China
Lianrui Deng(Nanchang University), Libin Deng(Nanchang University), Hang Yuan(Nanchang University), Pengfei Yu(Hunan Normal University), Xiaohong Xie(First Affiliated Hospital of Guangzhou Medical University), Xuyu Chen(Nanchang University), Jing Huang(Nanchang University), Weiming Lou(Nanchang University), Yang Yang(Nanchang University)
Cited by 4
Related Papers
Natural selection on <i>EPAS1</i> ( <i>HIF2α</i> ) associated with low hemoglobin concentration in Tibetan highlanders
|Proceedings of the National Academy of Sciences|2010|854
CD73 on cancer-associated fibroblasts enhanced by the A2B-mediated feedforward circuit enforces an immune checkpoint
|Nature Communications|2020|188
FOXM1 promotes hepatocellular carcinoma progression by regulating KIF4A expression
|Journal of Experimental & Clinical Cancer Research|2019|173
CD38 promotes angiotensin II‐induced cardiac hypertrophy
|Journal of Cellular and Molecular Medicine|2017|92